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WEATHER EFFECTS ON ISOPRENE EMISSION CAPACITY AND APPLICATIONS IN EMISSIONS ALGORITHMS
Author(s) -
Sharkey Thomas D.,
Singsaas Eric L.,
Lerdau Manuel T.,
Geron Chris D.
Publication year - 1999
Publication title -
ecological applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.864
H-Index - 213
eISSN - 1939-5582
pISSN - 1051-0761
DOI - 10.1890/1051-0761(1999)009[1132:weoiec]2.0.co;2
Subject(s) - isoprene , photosynthetically active radiation , environmental science , atmospheric sciences , atmospheric chemistry , chemistry , photosynthesis , atmosphere (unit) , environmental chemistry , ozone , meteorology , organic chemistry , geography , physics , copolymer , polymer , biochemistry
Many plants synthesize isoprene. Because it is volatile and reacts rapidly with hydroxyl radicals, it is emitted to the atmosphere and plays a critical role in atmospheric chemistry. Determining effective remediation efforts for ozone pollution requires accurate isoprene‐emission inventories. Temperature and light effects on isoprene emission from plants over minutes to a few hours are fairly well known, but effects over a few days (i.e., influenced by weather) are also possible. We measured isoprene emission and photosynthesis under constant temperature and light (known as the basal emission rate, which reflects the capacity for isoprene emission) during eight field trips from 1994 to 1996. Measurements were made at the tops of oak trees at two sites between May and September. On six of the trips, the effect of short‐term (minutes to hours) temperature changes was also investigated. The basal emission rate of isoprene was highly correlated with the average temperature of the previous two days. Including the average daily dose of photosynthetically active radiation for the previous two days improved the correlation. Using averages from one, four, or seven days before the measurement resulted in lower correlation coefficients. Including a variable basal emission rate will improve the accuracy of isoprene‐emission models.